- MinIO also supports expansion of existing clusters in server pools. Each pool is a self contained entity with same SLA's (read/write quorum) for each object as original cluster. By using the existing namespace for lookup validation MinIO ensures conflicting objects are not created. When no such object exists then MinIO simply uses the least used pool to place new objects.

### There are no limits on how many server pools can be combined

```

# disable_pgv: disables protoc-gen-validation. This is not used buts adds many MB to Envoy protos
# not set vtprotobuf: this adds some performance improvement, but at a binary cost increase that is not worth it for the agent
AGENT_TAGS=agent,disable_pgv
# disable_pgv: disables protoc-gen-validation. This is not used buts adds many MB to Envoy protos

                    "schema": {
                        "$ref": "#/components/schemas/Item"
                    }
                }
            }
        },
        "422": {
            "description": "Validation Error",
            "content": {
                "application/json": {
                    "schema": {
                        "$ref": "#/components/schemas/HTTPValidationError"
                    }
                }

|                     | Control Plane              | Data Plane        |
| ------------------- |:--------------------------:| :----------------:|
| **Cluster-Scoped**  | CRDs + validation          | CNI<br>ztunnel    |
| **Workload-Scoped** | istiod<br>tags + revisions |  waypoint (envoy) |

  // - `*` matches all resources and their subresources.
  // - `pods/*` matches all subresources of pods.
  // - `*/scale` matches all scale subresources.
  //
  // If wildcard is present, the validation rule will ensure resources do not
  // overlap with each other.
  //
  // An empty list implies all resources and subresources in this API groups apply.
  // +optional
  // +listType=atomic

<img src="/img/python-types/image06.png">

## Les modèles Pydantic

<a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a> est une bibliothèque Python pour effectuer de la validation de données.

Vous déclarez la forme de la donnée avec des classes et des attributs.

Chaque attribut possède un type.

                "item_id"
            ],
            "msg": "value is not a valid integer",
            "type": "type_error.integer"
        }
    ]
}
```

eine Textversion:

```
1 validation error
path -> item_id
  value is not a valid integer (type=type_error.integer)
```

#### `RequestValidationError` vs. `ValidationError`

!!! warning "Achtung"

        Prefer to use the `Annotated` version if possible.

    ```Python
    commons: CommonQueryParams ...
    ```

...doesn't have any special meaning for **FastAPI**. FastAPI won't use it for data conversion, validation, etc. (as it is using the `Depends(CommonQueryParams)` for that).

You could actually write just:

=== "Python 3.8+"

    ```Python
    commons: Annotated[Any, Depends(CommonQueryParams)]
    ```

        override fun file(path: Any): File {
            onAccess("file")
            return delegate.file(path)
        }

        override fun file(path: Any, validation: PathValidation): File {
            onAccess("file")
            return delegate.file(path, validation)
        }

        override fun uri(path: Any): URI {
            onAccess("uri")
            return delegate.uri(path)
        }

            ],
            "msg": "value is not a valid integer",
            "type": "type_error.integer"
        }
    ]
}
```

você receberá a versão em texto:

```
1 validation error
path -> item_id
  value is not a valid integer (type=type_error.integer)
```

### `RequestValidationError` vs `ValidationError`

!!! warning "Aviso"